The French schoole- maister [[electronic resource] ] : Wherein is most plainely shewed the true and perfect way of pronouncing the French tongue, to the furtherance of all those which would gladly learne it. / / First collected by Mr. C.H. and now newly corrected and amended by Iames Giffard, professor of the sayd tongue

• Record Nr.: UNISA996386697203316
• Autore: Hollyband Claudius <16th cent.>
• Pubbl/distr/stampa: London, : Printed by Tho : Purfoot for Clement Knight, dwelling in Paules Church-yard at the signe of the holy Lambe., 1628
• Descrizione fisica: [4], 157 [i.e. 314] p
• Altri autori (Persone): GiffardJames
• Soggetti: French language; French language - Grammar
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Numerous errors in paging.; Pages numbered consecutively on recto only.; Signatures: A-T⁸ V⁷.; Title vignette, headpieces, tailpieces and initials.; Reproduction of original in: British Library.
• Sommario/riassunto: eebo-0018

Proceedings of the 22nd Engineering Applications of Neural Networks Conference : EANN 2021 / / edited by Lazaros Iliadis, John Macintyre, Chrisina Jayne, Elias Pimenidis

• Record Nr.: UNINA9910488722503321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• ISBN: 3-030-80568-9
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (545 pages) : illustrations (chiefly color)
• Collana: Proceedings of the International Neural Networks Society, , 2661-815X ; ; 3
• Disciplina: 006.32
• Soggetti: Computational intelligence; Engineering - Data processing; Artificial intelligence; Computational Intelligence; Data Engineering; Artificial Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Automatic Facial Expression Neutralisation Using Generative Adversarial Network -- Creating Ensembles of Generative Adversarial Network Discriminators for One-class Classification -- A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection -- Anomaly Detection by Robust Feature Reconstruction -- Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia -- Deep learning topology-preserving EEG-based images for autism detection in infants -- Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors -- Liver cancer trait detection and classification through Machine Learning on smart mobile devices.
• Sommario/riassunto: This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the ; following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.